@inproceedings{2a4160cae3474eccb05044fe16db5e15,
title = "Industrial cure monitoring and control of the RTM production of a CFRP automotive component",
abstract = "A self-learning process monitoring and automatic control system has been developed to provide optimal and straightforward solutions for a wide range of resins and applications without particular investment and knowledge from the manufacturers' side. Three different liquid moulding applications were used as the testing bed for the technologies covering a wide range of processing conditions (polyesters and epoxies, fast and slow cure cycles, carbon and glass fibres) with products from automotive to composite bridges. At the first application in high-speed RTM, the new system did prove its advantages in monitoring and control an RTM epoxy CFRP production achieving acceleration of more than 10% in existing production and potentially up to 40% through an additional optimisation step.",
keywords = "CFRP, Cure control, Cure monitoring, RTM",
author = "Nikos Pantelelis and Gilles Nedelec and Yannick Amosse and Toitgans, {Marc Philippe} and Alexandre Beigbeder and Isabel Harismendy and Ricardo Mezzacasa and Jie Zhang and Efthymios Bistekos",
year = "2012",
language = "English",
isbn = "9788888785332",
series = "ECCM 2012 - Composites at Venice, Proceedings of the 15th European Conference on Composite Materials",
publisher = "European Conference on Composite Materials, ECCM",
booktitle = "ECCM 2012 - Composites at Venice, Proceedings of the 15th European Conference on Composite Materials",
note = "15th European Conference on Composite Materials: Composites at Venice, ECCM 2012 ; Conference date: 24-06-2012 Through 28-06-2012",
}